Submitted:
17 August 2023
Posted:
18 August 2023
You are already at the latest version
Abstract
Keywords:
1. Introduction
2. Enzymatic Electrochemical Biosensors for Food Bioprocess Monitoring
2.1 Principle of Enzyme Electrochemical Biosensor Construction
2.2. Electrochemical Biosensors for Single-Enzyme Systems
2.2.1. Glucose Oxidase
2.2.2. Lactate Oxidase and Lactate Dehydrogenase
2.2.3. Other enzymes for the Development of Electrochemical Biosensors
2.3. Electrochemical Biosensors for Multi-Enzyme Systems
2.4. Electrochemical Biosensors for Nano-Enzymatic Systems
3. Nanomaterials for Enzyme Immobilization
3.1. Metal-Based Nanomaterials Modified Electrodes
3.2. Graphene Nanomaterials Modified Electrodes
3.3. Metal-Organic Framework Modified Electrodes
3.4. Carbon Nanotube-Modified Electrodes
3.5. Polymer Modified Electrodes
4. Challenges and Future Trends of Enzyme Electrochemical Biosensors
4.1. Challenges
- (1)
- The major hindrances to the widespread usage of enzyme electrochemical biosensors are still the reusability and stability of these biosensors. Moreover, the complexity of food matrices, harsh environments, and their interference with biorecognition elements can significantly impact the reproducibility and selectivity of biosensors. Henceforth, scientists must prioritize the enhancement of sensor efficacy in forthcoming research endeavors. Specifically, rigorous investigation is necessary to address and resolve the issue of interferences encountered in authentic specimens, ensure the endurance of enzyme-chemical biosensors in adverse surroundings, and assess the impact of varying storage conditions on the biosensors' lifespan [86].
- (2)
- The addition of multiple enzymes to a biosensor in multi-enzyme systems can create complications during biosensor fabrication. Furthermore, it can impose substantial limitations on the characterization and application possibilities of the biosensor. This arises due to variations in the sensitivity to substrates, effectiveness in storage, and conditions required for enzyme immobilization among different enzymes. Hence, a critical consideration in designing a multi-enzyme biosensor is the meticulous selection of enzyme systems. This selection aims to prevent their sensitization to substances other than the target substance and ensure the requisite stability of the biosensor.
- (3)
- Compared with natural enzymes, the catalytic activity of nano enzymes is still relatively low, and most nano enzymes are difficult to catalyze a specific substrate like biological enzymes. Therefore, despite all the advantages of nano enzymes, nano enzymes with high catalytic activity, excellent selectivity, and specificity for constructing nano enzymes-based biosensors still need to be further developed. In the future, integrating biological enzymes or nano enzymes into mesoporous nanomaterials to prepare integrated nano enzymes (INAzymes), or constructing a binding or synergistic mechanism between an enzyme and a nano-enzyme may be a promising strategy to obtain this type of problem.
- (4)
- Achieving high homogeneity, reproducibility and chemical stability in electrode materials is a challenging task that cannot be accomplished by simple synthesis alone. Obtaining these desirable properties requires continuous efforts to advance advanced synthetic methods and their application to the analysis of real samples. Therefore, future prospective studies could prioritize the assessment of the stability of biosensor electrode materials in complex environments. In addition, it would be beneficial to explore more reliable modification strategies to enhance compatibility between biorecognition molecules and electrodes, as well as other potential avenues of exploration.
4.2. Future Development Trends
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Model enzymes | Support Materials | Target substance | Linear reaction range (μM) | Detection Limit (μM) | Application | References |
|---|---|---|---|---|---|---|
| HRP and GOx | G-IL/CNTs | Glucose | 0.004-5 mm | 3.99×10-7 M | Determination in real samples | [100] |
| INV and GOx | INVWM-GOx-Au/CuNPs-MFC-IGT/AuSPE | sucrose | 0.1 nM-10 μM | 0.1 nM | Direct Sucrose Analysis in Sweetened Beverages | [101] |
| GaOx and β-gal | P(Py-co-EDOT)-NaDBS | Lactose | 0.2–2.3 mM | 1.4 x 10-5 M | Lactose Determination in Milk Samples | [102] |
| GOx and β-gal | Chitosan/Enzyme(s)/Chitosan/GA | lactose | 5.83 x 10-3-1.65 x 10-2 M | 1.38 mM | Determination of lactose in dairy products | [103] |
| GOx,β-gal and mutarotase | PmPD | lactose | 0.01-1.25 mM | 0.005 mM | Determination of lactose in dairy products | [104] |
| HRP and LOx | Electrosynthesis PPy film | lactose | 1 x 10-6-1 x 10-4 M | 5.2 x 10-7 M | Monitor malolactic fermentation for winemaking | [105] |
| GK and GPO | GK/GPO/CHIT/TA/NPG/AuE | Glycerol | 0.1-5 mM | 77.08 μM | Control of wine quality | [106] |
| GOx and LOx | Flexible electrode array with gold nanoparticles and Prussian blue | GlucoseLactose | 60-1000 μM 5–20 mM | / | medical diagnosis | [107] |
| GOx, CO and HRP | MIPs/MWCNTs-IL/GCE | GlucoseCholesterol | 1-18 pM0.5-15 pM | 0.81 pM 0.23 pM | medical diagnosis | [108] |
| GA-bacteria and GDH-bacteria | MWNTs/GCE | MaltoseGlucose | 0.2–10 mM0.1–2.0 mM | 0.1 mM0.04 mM | Monitoring of food production and fermentation processes | [109] |
| HRP and GOx | Polynoradrenalin/Polyaniline electrode | GlucoseH2O2Cr(III)Cr(VI) | 0.50 μM–0.42 mM50–3.02 × 1040.01 ~ 3.85.0 × 10−4~6.0 × 10−3 | 0.08100.012.0 × 10−4 | Determination in real samples | [110] |
| Enzyme mimicked | Nanomaterials | Target substance | Linear range | Detection limit | Application | References |
|---|---|---|---|---|---|---|
| Oxidase | His@AuNCs/RGO | Nitrites | 2.5-5700 μM | 0.5 μM | Detection of nitrite in sausage samples | [134] |
| Oxidase | FeMnzyme | AA | 8 μM-56 μM | 0.88 μM | Determination of AA in actual kiwifruit fruit | [135] |
| Oxidase | Dex-FeMnzyme | TAC | 1 μM-30 μM | 1.17 μM | Practical applications in fruit and vegetable foods | [136] |
| Oxidase | MnO2 NRs | Pb2+ | 0.8–2500 nM | 0.54 nM | Detection in actual sample oils, wines, and spirits | [137] |
| Peroxidase | AuPd@UiO-67 | Hg2+ | 1.0 nM-1.0 mM | 0.16 nM | Actual measurements of tap water and lake water | [138] |
| Peroxidase | Au2Pt NPs | TAC | / | <0.2 μM | Determination of TAC in real samples (milk, green tea, and orange juice) | [139] |
| Peroxidase | S-rGO | H2O2 glucose | 0.1-1 μM1-100 μM | 0.042 μM0.38 μM | Determination of glucose in real samples | [140] |
| Peroxidase | AgNPs/MoS2-MF | glucose | 1-15 mM | 1.0 mM | Detection of glucose concentration in real samples | [141] |
| Peroxidase | Fe1-xS | Glucose AA | 200-700 μM 10-500 μM | 37 μM 53 μM | Detection of glucose and AA in actual beverages | [142] |
| Peroxidase | FeCo NCs | Histamine | 1-5000 nM | 0.79 nM | Detection of histamine in actual crab samples | [143] |
| Peroxidase | MOF-919-NH2@γ-CD | α-amylase activity | 0-200 U L-1 | 0.12 U L-1 | Determination of alpha-amylase activity in real distillers yeast samples | [144] |
| Peroxidase | PBA-CP@MOF | VP | 102-108 CFU mL-110-108 CFU mL-1 | 30 CFU mL-15 CFU mL-1 | Detection of VP in actual shrimp samples | [145] |
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